BS Mathematics with Data Science

Introduction

The BS Mathematics (4 years) program aims at producing undergraduate students in Mathematics who can fulfill the needs of our schools and college education and pursue their higher studies in Mathematics. The entrance requirement of the B.S. Mathematics (4 years) program is HSC or equivalent. B.S. Mathematics (4 years) is a 142 credit hours (15-18 credit hours per semester) program of studies spread over eight semesters.

Eligibility Criteria

Intermediate with Mathematics, Computer Science, Economics, and Statistics securing at least 50% marks in aggregate.
Any other examination of a Foreign University/Institution /Examining Body, equivalent to intermediate with above subjects. Equivalence and percentage of marks will be determined by IBCC.
Diploma of Associate Engineering Examination, securing at least 60% marks in aggregate.

Accreditations

B.S. Mathematics (4 years) program is recognized by HEC Pakistan.

Career Prospects

Lecturer at Colleges
Subject Specialist in School Education
Trained Graduate Teacher at Directorate of Federal Government Educational Institutions
Forensic Scientist at Punjab Forensic Science Agency, Lahore
Research Officer at Planning and Development departments
Senior Auditor at Department
Investment analyst
Budget Analyst
Accountant
Stockbroker
Data Scientist
Astronaut

Program Educational Objectives (PEOs)

PEO-I

Inculcate in-depth knowledge, analytical skills, and creativity in the computing domain.

PEO-II

Attain the ability to adapt in an evolving technological environment, assimilate new information with a strong focus on entrepreneurship.

PEO-III

Instill moral and ethical values, along with the ability to communicate effectively with the computing community.

PEO-IV

Train graduates to contribute towards knowledge economy and socio-economic growth of the country.

Programs Learning Outcomes (PLOs)

PLO-I

Analyze complex problems and apply computing and other relevant disciplines to derive efficient data-science and Artificial Intelligence (AI) solutions, in different application areas.

PLO-II

Demonstrate the ability to combine computational and algorithmic thinking, with machine learning and mathematical optimization, to design, implement and evaluate data-science and AI based solution to meet a given set of requirements, in a wide range of application domains.

PLO-III

Communicate and present effectively findings and analytical outcome, using data visualization tools, to all stakeholders in a variety of professional settings.

PLO-IV

Recognize professional responsibilities and make informed judgments in data-science, AI, computing practices, and/or business problems based on legal, ethical and privacy-preserving principles.

PLO-V

Demonstrate professionalism, organizational skills, and leadership, as a member or leader of a team engaged in data-science and AI and computing activities.

PLO-VI

Apply effectively computing and data-science and AI theory, methodologies, techniques and tools throughout the data analysis lifecycle to extract useful knowledge and actionable insights for informed and sustainable data-science and/or business solutions, in line with the strategic plan and specified objectives of the stakeholders.

Scheme of Studies for BS Mathematics with Data Science Program (04 Years)

Total Credit Hours = 142

Courses
Calculus I	Mathematical Logic and Set Theory	Functional English	Ideology and Constitution of Pakistan
Islamic Studies/Ethics	Computer Programming with PYTHON	Translation of the Holy Qur’an I	Calculus II
Quantitative Reasoning I	Introduction to Linear Algebra	Application of Information and Communication Technologies (ICT)	Arts and Humanities
Data Analysis with Spreadsheet	Translation of the Holy Qur’an II	Calculus III	Discrete Mathematics
Vector and Tensor Analysis	Expository Writing	Social Sciences	Machine Learning I
Quantitative Reasoning II	Translation of the Holy Qur’an III	Ordinary Differential Equations	Modern Algebra
Mathematical Software Package (MATLAB/MAPLE)	Entrepreneurship	Civics and Community Engagement	Machine Learning II
Natural Sciences	Translation of the Holy Qur’an IV	Probability Theory	Number Theory and its Applications
Real Analysis	Mathematical and Statistical Software	Graph Theory	Mathematical Methods
Translation of the Holy Qur’an V	Linear Algebra and Applications	Partial Differential Equations	Introduction to Stochastic Processes
Fuzzy Set Theory	Numerical Analysis/ Numerical Computing	Translation of the Holy Qur’an VI	Big Data Mining
Introduction to Statistical Modelling	Elective I	Elective II	Elective III
Translation of the Holy Qur’an VII	Data Visualization	Elective IV	Elective V
Elective VI	Capstone Project	Translation of the Holy Qur’an VIII